%0 Journal Article
%A FAN Xiao-hong
%A GAO Yuan
%A MA Ying-jie
%A ZHANG Xin-ran
%A ZHAO Geng
%T Quantum Chaotic Extended Sequence Algorithm for 5G F-OFDM
%D 2019
%R 10.13190/j.jbupt.2018-058
%J Journal of Beijing University of Posts and Telecommunications
%P 90-94
%V 42
%N 2
%X High peak to average power ratio (PAPR) is a main problem of the fifth generation of mobile communications system(5G) filtered-orthogonal frequency division multiplexing (F-OFDM) systems. Aiming at the shortcomings of traditional selective mapping algorithm, such as limited number of candidate sequences, the quantum chaotic extended sequence algorithm was proposed to solve the high PAPR problem of 5G F-OFDM systems. The original signal was divided into real part signal and imaginary part signal by segmentation method, which were respectively multiplied the quantum logistic chaotic map. The PAPR was calculated by linear superposition of real sequences and the imaginary part candidate, and the minimum PAPR was selected for transmission. The simulation results show that the proposed algorithm reduces the PAPR of 5G F-OFDM system, increases the number of candidate signals and reduces the computational complexity. The proposed scheme has a broad application prospect in 5G multicarrier modulation technology.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2018-058